Maximum entropy modeling of metabolic networks by constraining growth-rate moments predicts coexistence of phenotypes.

Abstract excerpt

In this work maximum entropy distributions in the space of steady states of metabolic networks are considered upon constraining the first and second moments of the growth rate. Coexistence of fast and slow phenotypes, with bimodal flux distributions, emerges upon considering control on the average growth (optimization) and its fluctuations (heterogeneity). This is applied to the carbon catabolic core of...

Topics

Share this publication in a Topic to start or enrich a Post.

• Share to Carbon Dioxide
• Share to Entropy
• Share to Escherichia coli Proteins